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Forget catastrophic forgetting: modular memory, blending in-context and in-weight learning, offers a practical path to truly continual learning agents.
By distilling knowledge from a powerful teacher model using spectral filtering, SpectralGCD achieves state-of-the-art generalized category discovery performance at a fraction of the computational cost.
